جست‌وجوی استاد و پژوهشگر

Inger Lise Gadeمشاهده پروفایل

دانشیار بالینی

• Hematology
• Exhaled Breath Proteomics
• Non-invasive Diagnostics
• +۷ مورد دیگر

Clinical Associate Professor Inger Lise Gade is a researcher and physician at Aalborg University Hospital, affiliated with the Faculty of Health Sciences and Department of Blood Diseases. With over a decade of clinical and research experience, she bridges hematology practice with innovative diagnostic research, focusing on non-invasive approaches that benefit fragile patients. Department of Blood Diseases, Aalborg University Hospital Clinical Institute, Faculty of Health Sciences Principal Investigator for multiple research projects Leader of Exhaled Breath Diagnostics and Monitoring research group (ExBreDia) Dr. Gade's research centers on exhaled breath proteomics as a novel diagnostic tool, inspired by clinical challenges in hematology. She has demonstrated that exhaled breath contains endogenous proteins reflecting various biological processes, positioning breath analysis as a valuable biological sample comparable to blood but with significant advantages in non-invasive collection and potential for continuous monitoring. Her work spans hematological diseases, coagulation disorders, pulmonary embolism, and cancer diagnostics, with particular emphasis on translating laboratory findings to clinical applications. Analysis of her recent publications reveals a strong trend toward developing non-invasive diagnostic methods using exhaled breath biomarkers. Her research spans hematology, respiratory medicine, and proteomics with applications in pulmonary embolism, stroke, cancer, and infectious diseases like COVID-19. The publications show methodological development progressing toward clinical implementation, with increasing focus on point-of-care diagnostics and monitoring. Clinical Emerging Investigator grant from Novo Nordisk Foundation (2024) Award for medical talent (2020) Award for medical enthusiast (2020) Dr. Gade actively supervises doctoral students and contributes to medical education, teaching master's level medical students with a focus on lymphoproliferative diseases, anemia, and acute hematological conditions. She has secured significant research funding from the Novo Nordisk Foundation and Danmarks Frie Forskningsfond for her innovative work on exhaled breath diagnostics. In 2024, she co-founded the Network for Clinical Lecturers at Aalborg University and serves as chair of its research committee. Dr. Gade leads the Exhaled Breath Diagnostics and Monitoring research group (ExBreDia), established in 2024 with a Clinical Emerging Investigator grant from the Novo Nordisk Foundation. The group focuses on optimizing methods for exhaled breath collection and analysis, investigating potential applications for rapid diagnostics across various medical conditions. Through collaborations with industrial and academic partners, the research aims to transform point-of-care diagnostics and monitoring through non-invasive precision methods.

Yushuai Liمشاهده پروفایل

استادیار

• Digital Twin
• Energy Internet
• Reinforcement Learning
• +۷ مورد دیگر

Yushuai Li is an Assistant Professor in the Department of Computer Science at Aalborg University. His research focuses on digital twin technologies, energy internet systems, distributed optimization, and cyber-physical security for energy networks. Institution: Aalborg University, Denmark Academic Rank: Assistant Professor Email: yushuaili@ieee.org, yusli@cs.aau.dk Research Interests: Li's work bridges artificial intelligence with energy systems, emphasizing: Digital Twin for Energy and Transportation Integration Reinforcement Learning in Power Trading Distributed Control for Microgrids Privacy-Preserving Energy Dispatch Autonomous Driving-Energy System Coupling Scientific Contributions: His recent publications address critical challenges in energy internet resilience, including: Distributed control under stealthy attacks Noise-resilient microgrid operations Multi-timescale optimization algorithms Event-triggered control strategies Secure peer-to-peer energy trading Honors & Awards: Recipient of multiple prestigious awards, including: Best Paper Awards (MPCE, ICCSIE, IEEE EI2) Excellent Young Expert Award (MPCE, 2023) National Natural Science Prizes (CAA 2022-2023) Highly Cited Papers (8 ESI Highly Cited, 2 ESI Hot Papers) H-index 24 with 2500+ Google Scholar Citations Academic Leadership: Serves as Associate Editor for four IEEE journals and chairs sessions at leading conferences like IEEE SmartGridComm, ISIE, and IEEE EI2. His 70+ publications span top venues including IEEE Transactions on Cybernetics, Smart Grid, and ACM SIGMOD.

Kim Jørgensenمشاهده پروفایل

استادیار

• Mental Health
• Recovery-Oriented Care
• Critical Discourse Analysis
• +۴ مورد دیگر

Kim Jørgensen is an Assistant Professor (20% part-time) in the Department of People and Technology at Roskilde University, Denmark, affiliated with the Health and Society Research Group. His work centers on mental health systems, recovery-oriented practices, and cross-sectoral collaboration between psychiatric hospitals and municipal services. His research employs critical discourse analysis to examine mental health policy framing, user involvement mechanisms, and professional implementation challenges. Key themes include the fragmentation of care transitions, discourse constructions of recovery, and power dynamics in interorganizational collaboration. He investigates how healthcare professionals navigate recovery-oriented models within existing structural constraints, with particular focus on Danish mental healthcare reforms. Recent publications (2024-2025) demonstrate methodological diversity through scoping reviews, qualitative studies, and critical discourse analyses. Dominant trends include cross-sectoral collaboration challenges (38% of recent works), recovery-oriented practice implementation (29%), and user involvement frameworks (22%), with increasing attention to children of mentally ill parents and digital self-harm. Dr. Jørgensen actively contributes to 9 research projects including the active 2024-2027 study 'Recovery-oriented care in mental health centres for users with severe mental difficulties' and serves as co-supervisor for PhD research on online self-harming behavior. His editorial work includes Nordisk Sygeplejeforskning (2025) and International Journal of Environmental Research and Public Health (2023-2024). He collaborates with interdisciplinary teams across mental health centers and municipalities, presenting findings at Nordic nursing conferences on recovery-oriented network meetings and professional experiences with cross-sectoral collaboration.

• Quantum Physics
• Semiconductor Devices
• Quantum Computing
• +۴ مورد دیگر

Anasua Chatterjee is a researcher at the Center for Quantum Devices, part of the Niels Bohr Institute at the University of Copenhagen. Her work focuses on quantum dot arrays, spin qubits, and semiconductor-based quantum computing platforms. She collaborates with leading quantum research groups and contributes to advancements in quantum device calibration, optimization, and noise mitigation. Affiliation: Center for Quantum Devices, Niels Bohr Institute, University of Copenhagen Her research spans quantum device automation, charge sensing, and real-time control of qubit fluctuations. Recent publications highlight her expertise in radio-frequency reflectometry, gate voltage optimization, and topological superconductivity in hybrid devices. Key article trends include autonomous calibration of quantum dots using evolutionary algorithms, spin qubit control via FPGA-based feedback systems, and integration of superconducting elements with semiconductor platforms. These studies often involve collaborations with institutions in the U.S. and Europe. While no formal awards are listed in the provided texts, her work appears integral to scaling quantum processors and improving qubit coherence for fault-tolerant systems.

• Machine Learning
• Deep Learning
• Remote Sensing
• +۳ مورد دیگر

Fabian Christian Gieseke is an Associate Professor in the Department of Computer Science at the University of Copenhagen, specializing in Machine Learning. His research focuses on developing advanced computational methods for environmental monitoring and large-scale data analysis. Primary research interests include: Application of deep learning to remote sensing and geospatial data Large-scale forest biomass estimation using LiDAR and satellite imagery National-scale ecological monitoring systems Efficient algorithms for processing massive environmental datasets His recent publications demonstrate a strong emphasis on applying machine learning to climate science and ecological conservation. Work frequently involves: Cross-disciplinary collaborations with environmental scientists Development of novel deep learning architectures for 3D data Large-scale mapping of natural resources Solutions for global environmental challenges

Jan Mainzمشاهده پروفایل

استاد بالینی

• Total Quality Management
• Patient-Reported Outcome
• Mental Health Care
• +۴ مورد دیگر

Jan Mainz is a Clinical Professor at Aalborg University Hospital's Faculty of Health Sciences , affiliated with the Danish Center for Health Services Research . He serves as Director of Psychiatry in Region Nordjylland since 2023. His research focuses on Total Quality Management and Patient Safety in mental healthcare systems. Key projects include ADHD capacity forecasting, point-of-care ultrasound evaluation, and MUSTAFI sleep disorder trials. 2025: BMC Psychiatry dual diagnosis study 2025: Scand J Primary Health Care ultrasound analysis 2024: ADHD resource modeling He co-investigated multiple national healthcare projects and contributed to policy discussions through 124+ professional activities, including conference presentations on pandemic mental health impacts and digital quality indicators.

Evangelos Boukasمشاهده پروفایل

دانشیار

• Deep Learning
• Unmanned Aerial Vehicles
• Computer Vision
• +۵ مورد دیگر

Evangelos Boukas is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), Faculty of Engineering. His research focuses on autonomous robotic systems for marine vessel inspection, confined space navigation, and man overboard detection using UAVs and deep learning techniques. His core research interests include Deep Learning , Unmanned Aerial Vehicles , Computer Vision , and Robotics , applied to solve challenges in marine robotics and autonomous inspection. He develops uncertainty-aware navigation systems, probabilistic segmentation methods, and reinforcement learning frameworks for real-world deployment in complex environments. Recent publications demonstrate a strong trend toward GPU-accelerated deep learning for confined space inspection, with emphasis on uncertainty estimation, domain adaptation, and real-time processing. Key application areas include marine vessel classification, ballast tank inspection, and search-and-rescue operations, often leveraging multimodal sensor fusion. Dr. Boukas actively supervises five PhD students across major research projects: Probabilistic Deep Learning for Autonomous Aerial Inspection (2025-2028) Aerial Robots Design for Confined Spaces Inspection (2024-2027) Active Semantic Segmentation for Confined Spaces using Aerial Robots (2024-2027) Autonomous Aerial Robotics for Man Overboard Incidents (2023-2026) Visual and Multimodal Perception for Construction Robotics (2023-2026) He leads the "Perception and Cognition for Autonomous Systems" research group at DTU, which develops advanced perception algorithms for robots operating in challenging environments like ship ballast tanks and marine vessels, contributing to UN Sustainable Development Goals for industry innovation and marine conservation.

John Peter Merryman Boncoriمشاهده پروفایل

استاد

• Remote Sensing
• Synthetic Aperture Radar (SAR)
• Glaciology
• +۴ مورد دیگر

John Peter Merryman Boncori serves as Head of Microwaves and Remote Sensing at the Department of Space Research and Technology, Technical University of Denmark (DTU). His research directly contributes to UN Sustainable Development Goals through advanced Earth observation techniques. His research spans Remote Sensing , Synthetic Aperture Radar , and Glaciology , with specific expertise in InSAR processing for tectonic monitoring and ice sheet dynamics. Key focus areas include: Greenland Ice Sheet velocity measurement using SAR Multi-scale analysis of active fault systems in Italy Validation of ground motion services using GNSS Subglacial hydrology modeling in polar regions Dr. Boncori actively supervises PhD research in critical areas: Crowd counting via remote sensing (CroCo project) Field-scale soil moisture mapping InSAR error characterization Ship tracking with iceberg discrimination Ice velocity retrieval using TOPS-mode SAR He leads the Microwaves and Remote Sensing group at DTU Space, developing advanced methodologies for radar interferometry and satellite-based deformation monitoring. His team maintains strong international collaborations across Europe for Earth observation projects, with particular emphasis on cryosphere and tectonic applications.

Simon Wykeمشاهده پروفایل

استادیار

• Sustainable Urban Planning
• Subsurface Infrastructure Management
• Construction Project Management
• +۶ مورد دیگر

Simon Wyke is an Assistant Professor at the Department of Sustainability and Planning, Aalborg University. His academic background includes a Master's in Building Informatics and a PhD in Civil Engineering from Aalborg University. He is actively involved in research on data and knowledge management, subsurface infrastructure, nature-based solutions, and IT-based solutions in organizations. His work contributes to UN Sustainable Development Goals related to sustainable cities, responsible consumption, and climate action. Education: PhD in Civil Engineering, Aalborg University Master's in Building Informatics, Aalborg University Research interests focus on: - Subsurface infrastructure management and digital twin technologies - Sustainable urban planning through permeable pavements and NBS - Construction project management and cost overrun analysis - Reality capture and augmented/virtual reality applications in infrastructure - Quality management in construction processes - Waste management optimization in construction sites Notable projects include: - DDU: The Digital Underground (2023-2026): Explores subsurface infrastructure data registration and collaboration networks. - NBRACER (2023-2027): Focuses on climate-resilient nature-based solutions in Atlantic regions. - Optimeret design af byggeaffaldssystemer (2025-2027): Aims to improve waste management through behavioral modeling. He has published widely in journals like Engineering, Construction and Architectural Management and the KSCE Journal of Civil Engineering. His work emphasizes interdisciplinary approaches, combining engineering, data science, and environmental science. Collaboration efforts include partnerships with Danish utility companies and international climate initiatives. He actively peer reviews for construction management journals and participates in climate action conferences like Det Nationale Klimatopmøde.

Anne Marie Svaneمشاهده پروفایل

دانشیار

• Topological Data Analysis
• Probability Theory
• Mathematical Statistics
• +۳ مورد دیگر

Anne Marie Svane is an Associate Professor at the Department of Mathematical Sciences, Aalborg University, specializing in topological data analysis, stochastic geometry, and probability theory. Her research bridges theoretical mathematics with applied statistics, focusing on geometric functionals and computational methods. Education: PhD in Mathematics from Aarhus University. Her recent work explores cobordism obstructions, Gibbs processes, and applications in climate science and medical research. Key contributions include: Advancing kernel persistence methods for topological data analysis. Developing central limit theorems for spatial point processes. Modeling moisture dynamics in building physics with climate data. Investigating the interplay between digital algorithms and geometric structures. She collaborates on interdisciplinary projects like AI-Aalborg Intelligence and contributes to educational initiatives such as Girls' Day in Science.

• Extreme Value Theory
• Stochastic Processes
• Time Series Analysis
• +۳ مورد دیگر

Thomas Valentin Mikosch is a Professor at the Department of Mathematical Sciences , University of Copenhagen. His research focuses on extreme value theory, stochastic processes, and time series analysis with applications in actuarial mathematics and risk management. Extreme value theory for dependent data Heavy-tailed distributions in financial and insurance contexts Statistical inference for stochastic models Recent work includes publications on power-law tails in time series, cluster inference for extremal events, and distance covariance in spatial models. He has served as an editor for journals like Bernoulli and Stochastic Processes and Their Applications and holds memberships in prestigious organizations such as the Royal Danish Academy for Sciences and Letters.

Markus Kiderlenمشاهده پروفایل

دانشیار

• Integral Geometry
• Convex Geometry
• Stochastic Geometry
• +۲ مورد دیگر

Markus Kiderlen is an Associate Professor at the Department of Mathematics, Aarhus University, specializing in the intersection of geometry, probability theory, and statistics. His research spans integral geometry, convex geometry, stochastic geometry, geometric tomography, and spatial statistics. Primary affiliation: Department of Mathematics, Aarhus University Academic rank: Associate Professor His work in stochastic geometry involves integral geometric relations, Minkowski tensors for quantifying random particles, and uniqueness/inference problems in geometric tomography (e.g., solving Hammer's X-ray problem). Another key focus is spatial sampling methods, including Wicksell's corpuscle problem and Cavalieri volume estimation improvements. Recent research trends include geometric reconstruction algorithms, stereological techniques for nonconvex particles, and rotational integral formulae for convex bodies. He has also explored polarizations in rearrangement processes and their applications. Markus Kiderlen has presented at international conferences such as MCQMC (2022), Stochastic Geometry Workshops (2019-2022), and the WIASABISS workshop (2018). His publications reflect collaborations with researchers like M. Stehr, R. Eriksen, and D. Hug.

Henrik Gordon Petersenمشاهده پروفایل

استاد

• Robotics
• Robot Manipulation
• Actuator Engineering
• +۴ مورد دیگر

Henrik Gordon Petersen is a Professor at the Maersk Mc-Kinney Moller Institute within the University of Southern Denmark (SDU), where he is a leading figure in SDU Robotics. With a prolific research output of 86 publications and active involvement in 14 projects including the major MADE REACT initiative (100 million DKK), Petersen's work centers on advancing robotic systems for industrial automation and sustainable production. His expertise spans robot engineering, actuator design, and computer vision with 100% fingerprint concentration in Robotics and significant contributions to Actuator Engineering (77%) and Vision Systems (68%). Petersen's research focuses on practical robotics applications including robot manipulation techniques for peg-in-hole assembly and disassembly in circular economies, precision machining with trajectory correction systems, and computer vision solutions for pose estimation and surface tracking. His work bridges theoretical innovation with industrial implementation through projects like MADE REACT which develops AI-powered resilient manufacturing systems. Recent investigations also explore energy-aware teleoperation and deep learning-based human modeling for physical human-robot interaction. Analysis of his 2022-2024 publications reveals strong trends toward sustainable robotics—designing disassembly systems for circular economies, developing resilient end effectors, and creating correction methods for precision machining. These efforts align with broader industrial resilience goals through integration of digital technologies and AI, particularly evident in the MADE REACT project's focus on flexible production systems. Petersen actively supervises two PhD candidates: Luo R. on safe energy-aware robotic teleoperation (2025-2028) and Zhou Y. on deep learning human modeling for physical human-robot interaction (2024-2027). His substantial grant portfolio includes the 13-year CAPeX project for P2X materials discovery, EUROfusion BB RH DEMO for fusion power control, and the flagship MADE REACT initiative demonstrating consistent success in securing competitive national and EU funding. Based at the Maersk Mc-Kinney Moller Institute, Petersen contributes to SDU Robotics' ecosystem which includes the MADE Open Lab for industry collaboration. This environment enables rapid prototyping and deployment of robotic solutions through strong partnerships with Danish manufacturing, as highlighted in 148 press/media features including the global robotics summer school in Odense and coverage of the MADE React project's 100-million-DKK impact on industrial resilience.

Christophe Biscioمشاهده پروفایل

دانشیار

• Point Processes
• Statistics
• Mathematics
• +۳ مورد دیگر

Christophe Biscio is an Associate Professor in the Department of Mathematical Sciences at Aalborg University's Faculty of Engineering and Science. His research focuses on spatial statistics, point processes, and topological data analysis, with applications in materials science and engineering. He leads interdisciplinary projects like 'Deciphering Nanoporosity of Amorphous Materials using Topological Data Analysis,' exploring medium-range order structures in glasses and metal-organic frameworks. Key research interests include statistical learning for point processes, functional central limit theorems, and adversarial machine learning. His work bridges theoretical mathematics with practical challenges in wireless communication, radar sensing, and urban system modeling. Collaborations span materials scientists, computer scientists, and data analysts. Biscio has advised one PhD student and contributed to datasets on topological summaries for spatial processes. He actively organizes conferences on data science and participates in public outreach events like Earth Day climate change discussions.

Christian Wolffمشاهده پروفایل

استادیار

• Photonics
• Plasmonics
• Quantum Optics
• +۳ مورد دیگر

Christian Wolff is an Assistant Professor of Computational Physics at the University of Southern Denmark (SDU). He is affiliated with POLIMA, a research center at SDU, and previously worked at the Center for Nano Optics. His research focuses on photonics, plasmonics, quantum optics, and nonlinear optics, with contributions to topics like photonic crystals, PT-symmetric systems, and lithium niobate-based components. Wolff has co-authored over 40 papers and transitioned to industry at 3dmicrofabrication in 2024 while maintaining ties to SDU. Education: Diploma in Physics (2008), Karlsruhe Institute of Technology Doctorate in Natural Sciences (2012), Karlsruhe Institute of Technology Research Interests: Christian’s work spans theoretical and applied photonics, including band-structure theory, stimulated Brillouin scattering, quantum plasmonics, and polaritons in 2D materials. His recent publications emphasize interdisciplinary approaches to optical systems and their practical applications in sensing, switching, and nanotechnology. Advising & Grants: Supervised 3 PhD students and multiple BSc/MSc theses. Taught courses in Computational Physics and Advanced Math. His research has been supported by VILLUM and MSCA Cofund postdoctoral fellowships. Labs & Teams: Active in POLIMA and previously at the Center for Nano Optics. Collaborations include the Max-Born-Institute and the University of Technology Sydney.